From 67f6ca91eb7912ba717ad1f5ee7682b8a9f46142 Mon Sep 17 00:00:00 2001
From: Jonathan Guinet <jonathan.guinet@c-s.fr>
Date: Mon, 21 Oct 2013 09:31:03 +0200
Subject: [PATCH] DOC: typo in LSMS region merging and vectorization
 application

---
 Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx | 2 +-
 Applications/Segmentation/otbLSMSVectorization.cxx       | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx b/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
index d677b59dd8..50c903aa0f 100644
--- a/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
+++ b/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
@@ -84,7 +84,7 @@ private:
     SetDescription("Third (optional) step of the exact Large-Scale Mean-Shift segmentation workflow.");
 
     SetDocName("Exact Large-Scale Mean-Shift segmentation, step 3 (optional)");
-    SetDocLongDescription("This application performs the second step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image) and the original image, it will merge regions whose size in pixels is lower than minsize parameter with the adjacent regions with the adjacent region with closest radiometry and acceptable size. Small regions will be processed by size: first all regions of size 1 will be merged, then all regions of size 2, until regions of size minsize. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
+    SetDocLongDescription("This application performs the third step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image) and the original image, it will merge regions whose size in pixels is lower than minsize parameter with the adjacent regions with the adjacent region with closest radiometry and acceptable size. Small regions will be processed by size: first all regions of size 1 will be merged, then all regions of size 2, until regions of size minsize. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
     SetDocLimitations("This application is part of the Large-Scale Mean-Shift segmentation workflow (LSMS) and may not be suited for any other purpose.");
     SetDocAuthors("David Youssefi");
     SetDocSeeAlso("LSMSSegmentation, LSMSVectorization, MeanShiftSmoothing");
diff --git a/Applications/Segmentation/otbLSMSVectorization.cxx b/Applications/Segmentation/otbLSMSVectorization.cxx
index a2589acfcd..0ef4395ae9 100644
--- a/Applications/Segmentation/otbLSMSVectorization.cxx
+++ b/Applications/Segmentation/otbLSMSVectorization.cxx
@@ -76,7 +76,7 @@ private:
     SetDescription("Fourth step of the exact Large-Scale Mean-Shift segmentation workflow.");
 
     SetDocName("Exact Large-Scale Mean-Shift segmentation, step 4");
-    SetDocLongDescription("This application performs the second step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image), that may have been processed for small regions merging or not, it will convert it to a GIS vector file containing one polygon per segment. Each polygon contains additional fields: mean and variance of each channels from input image (in parameter), segmentation image label, number of pixels in the polygon. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
+    SetDocLongDescription("This application performs the fourth step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image), that may have been processed for small regions merging or not, it will convert it to a GIS vector file containing one polygon per segment. Each polygon contains additional fields: mean and variance of each channels from input image (in parameter), segmentation image label, number of pixels in the polygon. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
     SetDocLimitations("This application is part of the Large-Scale Mean-Shift segmentation workflow (LSMS) and may not be suited for any other purpose.");
     SetDocAuthors("David Youssefi");
     SetDocSeeAlso("MeanShiftSmoothing, LSMSSegmentation, LSMSSmallRegionsMerging");
-- 
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